Automation index

How much of a Air cargo agent’s job can AI already do?

An AWB comes earlier. Boarding on time without leaving the cargo on the ramp do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

27%

AI can already do 27% of this job.

#129 / 623

Air cargo agent

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

Task	Share	AI	Points
AWB, weight and the flight. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Acceptance, screening and what cannot fly. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
ULD, build-up and the cut-off. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Customs, transits and the one that misses the flight. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The client, the urgent and not overbooking the hold. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Board on time, and not leaving it on the ramp. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

IS WORK OVER?

21%

#434 / 623

Network technician

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

Task	Share	AI	Points
Diagrams, inventory and standard configs. Estimate No public source provides a precise figure. This is our estimate.	18%	38%	+6.8
Tickets, remote diagnosis and logs. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Pulling, racking, crimping and labelling. Estimate No public source provides a precise figure. This is our estimate.	22%	12%	+2.6
Bring up links, VLANs and site Wi-Fi. Estimate No public source provides a precise figure. This is our estimate.	16%	15%	+2.4
On-call, outages and user care. Estimate No public source provides a precise figure. This is our estimate.	14%	18%	+2.5
Vendors, civil work and access. Estimate No public source provides a precise figure. This is our estimate.	14%	16%	+2.2
Total	100%		21%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low